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Record W2170119157 · doi:10.5589/m02-032

Wind-driven circulation in coastal and marginal seas

2002· article· en· W2170119157 on OpenAlexvenueno aff
John M. Huthnance

Bibliographic record

VenueCanadian Journal of Remote Sensing · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsnot available
FundersNatural Environment Research Council
KeywordsDownwellingWind stressUpwellingStratification (seeds)Sea breezeClimatologyWind speedForcing (mathematics)StormOceanographyEnvironmental scienceAtmospheric sciencesGeologyWind waveMeteorologyGeography

Abstract

fetched live from OpenAlex

This paper considers the spatial and temporal detail in knowledge of the wind that is required to estimate various consequences of wind forcing: coastal trapped waves, sea-surface fluxes related to the frequency spectrum, storm surges, coastal downwelling and upwelling, wind-stress curl and downwelling or upwelling, wakes and stratification, diurnal and seasonal stratification, coastal currents and plumes, sea breeze effects, and surface waves. For many of these phenomena, winds need to be resolved on scales of the order 10 km (related to topographically induced structure) and 1‐3 h (owing to rapid and non-linear responses). Relative errors in wind speed are typically multiplied by 2 or 3 for momentum inputs and mixing effects, respectively, which are particularly dependent on peak wind speeds (requiring correspondingly fine temporal resolution).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.180
Teacher spread0.166 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2002
Admission routes1
Has abstractyes

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